Topic: stellar populations

The FICOSS-AI project will develop an open-source pipeline integrating astrophysical models, spectral diagnostics and AI to study stellar populations and galaxy evolution. The fellow will combine machine learning, population-synthesis models and spectral-analysis tools, contribute to publications and mentor students technically. The expected start is 1 February 2027, or earlier if needed. Apply by 2 November 2026 with a CV, publication list and research-interest statement; two recommendation letters must be sent directly by referees as described on the official advertisement.

Globular clusters contain vast numbers of gravitationally bound stars and preserve evidence of galactic history. This seminar explains why their observed stellar populations are more complex than older single-population models suggested. It also considers what Milky Way clusters reveal about galaxy assembly and the distribution of ordinary and dark matter.